Last week's tweet chat on the causes, consequences and approaches to preventing dirty data in customer acquisition pipeline resulted in hundreds of insights from many notable industry experts.
While it would require much more than a single blog post to summarize all the topics and opinions discussed, below highlights the six topics and 27 opinions that garnered the most consensus or debate.
1. The biggest obstacles to prospect data quality are complexity of sources and silos.
I’ve said it many times: marketing is evolving rapidly, and with this transformation comes much specialization and the inevitable silos. It was nice to see that I’m not alone in my views; there seemed to be wide-held concern for the compartmentalization of data and the need for standardization to raze growing barriers between and within departments.
When asked about the biggest challenges to ensuring accurate data, almost all responses agreed with these tweets: